Modeling nested data in Google data studio community connectors

My general question is: how should I model the data / build a schema to support nested fields (lists of primitives, lists of objects), like:

{
 "id": 123,
 "phrases": ["a", "b", "c"],
 "authors": [
    {
      "name": "Jon"
    },
    {
      "name": "Bob"
    }
 ]
}

In general, I'd expect two solutions:

1. De-normalize the data. Duplicate rows for each nested value/attribute

"rows": [
    {
      "values": [123, "Jon", "a"]
    },
    {
      "values": [123, "Jon", "b"]
    },
    {
      "values": [123, "Jon", "c"]
    },
    ...   
]

Probably I could do it by myself but just wondering if there is a way google data studio does it for me? I know that tools like Power BI allow expanding nested types.

2. Normalize the data. Create multiple tables and build relations between them.

Is it possible in Google data studio? Are there any examples and documentation?